
"""simple docstring"""






import copy
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


UpperCAmelCase        =				logging.get_logger(__name__)

UpperCAmelCase        =				{
    """microsoft/conditional-detr-resnet-50""": (
        """https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json"""
    ),
}



class 			lowercase					( lowercase__		):
			lowercase        =     '''conditional_detr'''
			lowercase        =     ['''past_key_values''']
			lowercase        =     {
			    '''hidden_size''': '''d_model''',
			    '''num_attention_heads''': '''encoder_attention_heads''',
			}






			def __init__(self  :	Dict      ,SCREAMING_SNAKE_CASE_  :	int=True      ,SCREAMING_SNAKE_CASE_  :	Tuple=None      ,SCREAMING_SNAKE_CASE_  :	str=3      ,SCREAMING_SNAKE_CASE_  :	int=300      ,SCREAMING_SNAKE_CASE_  :	Any=6      ,SCREAMING_SNAKE_CASE_  :	List[Any]=2_048      ,SCREAMING_SNAKE_CASE_  :	List[Any]=8      ,SCREAMING_SNAKE_CASE_  :	List[Any]=6      ,SCREAMING_SNAKE_CASE_  :	int=2_048      ,SCREAMING_SNAKE_CASE_  :	str=8      ,SCREAMING_SNAKE_CASE_  :	List[Any]=0.0      ,SCREAMING_SNAKE_CASE_  :	Dict=0.0      ,SCREAMING_SNAKE_CASE_  :	Optional[int]=True      ,SCREAMING_SNAKE_CASE_  :	List[str]="relu"      ,SCREAMING_SNAKE_CASE_  :	Optional[int]=256      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.1      ,SCREAMING_SNAKE_CASE_  :	Optional[int]=0.0      ,SCREAMING_SNAKE_CASE_  :	str=0.0      ,SCREAMING_SNAKE_CASE_  :	Any=0.02      ,SCREAMING_SNAKE_CASE_  :	int=1.0      ,SCREAMING_SNAKE_CASE_  :	List[str]=False      ,SCREAMING_SNAKE_CASE_  :	Tuple="sine"      ,SCREAMING_SNAKE_CASE_  :	int="resnet50"      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=True      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=False      ,SCREAMING_SNAKE_CASE_  :	List[Any]=2      ,SCREAMING_SNAKE_CASE_  :	str=5      ,SCREAMING_SNAKE_CASE_  :	str=2      ,SCREAMING_SNAKE_CASE_  :	Any=1      ,SCREAMING_SNAKE_CASE_  :	str=1      ,SCREAMING_SNAKE_CASE_  :	List[str]=2      ,SCREAMING_SNAKE_CASE_  :	str=5      ,SCREAMING_SNAKE_CASE_  :	int=2      ,SCREAMING_SNAKE_CASE_  :	str=0.25      ,**SCREAMING_SNAKE_CASE_  :	Tuple      ,)       ->	int:





				"""simple docstring"""


				if backbone_config is not None and use_timm_backbone:
					raise ValueError('''You can\'t specify both `backbone_config` and `use_timm_backbone`.'''			)

				if not use_timm_backbone:
					if backbone_config is None:
						logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''			)
						lowerCAmelCase												=  CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']			)
					elif isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			):
						lowerCAmelCase												=  backbone_config.get('''model_type'''			)
						lowerCAmelCase												=  CONFIG_MAPPING[backbone_model_type]
						lowerCAmelCase												=  config_class.from_dict(SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  use_timm_backbone
				lowerCAmelCase												=  backbone_config
				lowerCAmelCase												=  num_channels
				lowerCAmelCase												=  num_queries
				lowerCAmelCase												=  d_model
				lowerCAmelCase												=  encoder_ffn_dim
				lowerCAmelCase												=  encoder_layers
				lowerCAmelCase												=  encoder_attention_heads
				lowerCAmelCase												=  decoder_ffn_dim
				lowerCAmelCase												=  decoder_layers
				lowerCAmelCase												=  decoder_attention_heads
				lowerCAmelCase												=  dropout
				lowerCAmelCase												=  attention_dropout
				lowerCAmelCase												=  activation_dropout
				lowerCAmelCase												=  activation_function
				lowerCAmelCase												=  init_std
				lowerCAmelCase												=  init_xavier_std
				lowerCAmelCase												=  encoder_layerdrop
				lowerCAmelCase												=  decoder_layerdrop
				lowerCAmelCase												=  encoder_layers
				lowerCAmelCase												=  auxiliary_loss
				lowerCAmelCase												=  position_embedding_type
				lowerCAmelCase												=  backbone
				lowerCAmelCase												=  use_pretrained_backbone
				lowerCAmelCase												=  dilation
				# Hungarian matcher
				lowerCAmelCase												=  class_cost
				lowerCAmelCase												=  bbox_cost
				lowerCAmelCase												=  giou_cost
				# Loss coefficients
				lowerCAmelCase												=  mask_loss_coefficient
				lowerCAmelCase												=  dice_loss_coefficient
				lowerCAmelCase												=  cls_loss_coefficient
				lowerCAmelCase												=  bbox_loss_coefficient
				lowerCAmelCase												=  giou_loss_coefficient
				lowerCAmelCase												=  focal_alpha
				super().__init__(is_encoder_decoder=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_			)






			@property
			def 					UpperCAmelCase							(self  :	List[str]			)       ->	int:





				"""simple docstring"""


				return self.encoder_attention_heads






			@property
			def 					UpperCAmelCase							(self  :	List[str]			)       ->	int:





				"""simple docstring"""


				return self.d_model






			def 					UpperCAmelCase							(self  :	List[Any]			)       ->	Dict:





				"""simple docstring"""


				lowerCAmelCase												=  copy.deepcopy(self.__dict__			)
				if self.backbone_config is not None:
					lowerCAmelCase												=  self.backbone_config.to_dict()
				lowerCAmelCase												=  self.__class__.model_type
				return output





class 			lowercase					( lowercase__		):
			lowercase        =     version.parse('''1.11'''		)






			@property
			def 					UpperCAmelCase							(self  :	List[str]			)       ->	Mapping[str, Mapping[int, str]]:





				"""simple docstring"""


				return OrderedDict(
				    [
				        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
				        ('''pixel_mask''', {0: '''batch'''}),
				    ]			)






			@property
			def 					UpperCAmelCase							(self  :	Optional[Any]			)       ->	float:





				"""simple docstring"""


				return 1e-5






			@property
			def 					UpperCAmelCase							(self  :	Optional[int]			)       ->	int:





				"""simple docstring"""


				return 12




"""simple docstring"""






def __magic_name__	(				_lowerCamelCase:		Tuple,					_lowerCamelCase:		Any			)					->						Optional[Any]:

	'''simple docstring'''




	lowerCAmelCase												=  [1]
	for i in range(2,					_lowerCamelCase			):
		factorials.append(factorials[-1] * i			)
	assert 0 <= k < factorials[-1] * n, "k out of bounds"

	lowerCAmelCase												=  []
	lowerCAmelCase												=  list(range(_lowerCamelCase			)			)

	# Find permutation
	while factorials:
		lowerCAmelCase												=  factorials.pop()
		lowerCAmelCase							,       lowerCAmelCase												=  divmod(_lowerCamelCase,					_lowerCamelCase			)
		permutation.append(elements[number]			)
		elements.remove(elements[number]			)
	permutation.append(elements[0]			)

	return permutation


if __name__ == "__main__":
					import doctest

					doctest.testmod()


